Artificial Intelligence Intern
- Role
- AI / ML
- Experience
- Entry level
- Employment
- Part-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
This is an open collaboration program designed for aspiring AI engineers and practitioners to gain hands-on, real-world experience. Work on actual artificial intelligence challenges, build your portfolio, and learn by doing alongside our team.
Core skills
Required skills
Optional skills
Role OverviewAt Nexal IIT, we're doing things differently. This isn't a traditional job or a standard internship—it’s an open collaboration program designed for aspiring AI engineers and practitioners to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work on actual artificial intelligence challenges, build your portfolio, and learn by doing alongside our team.ResponsibilitiesDevelop & Integrate AI: Help build and integrate smart solutions using state-of-the-art APIs (like OpenAI, Gemini, or Anthropic) or open-source models into real applications.Train & Fine-Tune Models: Assist in processing datasets and fine-tuning machine learning, natural language processing (NLP), or computer vision models.Prompt Engineering: Design, test, and systematically refine prompts to optimize the output, context retention, and reliability of Large Language Models (LLMs) for specific business tasks.Evaluate & Optimize: Test AI model performance, troubleshoot edge cases, and analyze outputs to ensure accuracy, speed, and safety.RequirementsPassionate about artificial intelligence and eager to learn.Solid grasp of Python and standard data manipulation libraries (such as Pandas or NumPy).Familiar with foundational AI concepts, including machine learning algorithms, deep learning basics, or NLP.Nice to HaveHands-on experience with frameworks like PyTorch or TensorFlow.Experience with tools like LangChain or Hugging Face.Previous experience building an AI-powered project or chatbot.BenefitsRemote & Flexible: Contribute from anywhere, on a schedule that works for you.Real Portfolio Projects: Leave with functional AI applications, custom-tuned models, or intelligent agents.Direct Mentorship: Get honest code reviews, architectural feedback, and guidance from our core engineering team.Proof of Impact: A certificate of completion and a strong letter of recommendation.SkillsPythonPyTorchLangChainNLPPandas
What you'll do
- Help build and integrate smart solutions using state-of-the-art APIs (like OpenAI, Gemini, or Anthropic) or open-source models into real applications.
- Assist in processing datasets and fine-tuning machine learning, natural language processing (NLP), or computer vision models.
- Design, test, and systematically refine prompts to optimize the output, context retention, and reliability of Large Language Models (LLMs) for specific business tasks.
- Test AI model performance, troubleshoot edge cases, and analyze outputs to ensure accuracy, speed, and safety.
What they require
- Passionate about artificial intelligence and eager to learn.
- Solid grasp of Python and standard data manipulation libraries (such as Pandas or NumPy).
- Familiar with foundational AI concepts, including machine learning algorithms, deep learning basics, or NLP.
Benefits
- Contribute from anywhere, on a schedule that works for you.
- Leave with functional AI applications, custom-tuned models, or intelligent agents.
- Get honest code reviews, architectural feedback, and guidance from our core engineering team.
- A certificate of completion and a strong letter of recommendation.